Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data

Stentz-Olesen, Kasper; Nielsen, Emil Toft; Raedt, Sepp de; Jørgensen, Peter Bo; Sørensen, Ole Gade; Kaptein, Bart L; Andersen, Michael Skipper; Stilling, Maiken

doi:10.1302/2046-3758.66.bjr-2016-0113.r3

Cited by 18 publications

(23 citation statements)

References 24 publications

(25 reference statements)

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“…Ideally motion-capture should have been used for tracking the motion of the marker frames, however this was not possible due to the confined space in an EOS scanner. Nonetheless, ICP is a commonly used method, and previous studies have applied and validated bone position reconstruction using ICP and found similar accuracy as presented in this paper (Stentz-Olesen et al, 2017).…”

Section: Limitationssupporting

confidence: 73%

A novel non-invasive method for measuring knee joint laxity in four dof: In vitro proof-of-concept and validation

Pedersen

Vanheule

Wirix-Speetjens

et al. 2019

Journal of Biomechanics

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Knee joint laxity or instability is a common problem that may have detrimental consequences for patients. Unfortunately, assessment of knee joint laxity is limited by current methodologies resulting in suboptimal diagnostics and treatment. This paper presents a novel method for accurately measuring non-invasive knee joint laxity in four degrees-of-freedom (DOF). An arthrometer, combining a parallel manipulator and a six-axis force/moment sensor, average mean difference for translations of 0.08 mm and an average limit of agreement between-1.64 mm and 1.80 mm. The average mean difference for rotations was 0.10°and the limit of agreement were between-0.85° and 1.05°. The presented method eliminates several limitations present in current methods and may prove a valuable tool for assessing knee joint laxity. Current stress radiography is also only assessing single plane laxity, but is not limited by low reliability (Schulz et al., 2005) or STA (Garavaglia et al., 2007). The radiation exposure from such measurements may, however, induce serious health risks for both the patient and operator making the method unsuitable for many applications (Balonov and Shrimpton, 2012). Joint instability must be assessed in multiple DOF in order to fully understand the complexity of the joint structures and the interplay between ligaments (Hirschmann and Müller, 2015). Neither clinical tests, arthrometry nor 1D stress radiography possesses the potential to obtain this information. Furthermore, these methods potentially over-constrain the joint during measurements, by restricting out-of-plane motion, making it appear more stable and potentially shift the load distribution unnaturally in the joint (Woo et al., 1999). Methods capable of measuring unconstrained knee joint laxity in multiple DOF not restricted by the above limitations are a prerequisite to progress the field of research in knee instability and advance current clinical assessment of joint instability. Novel methods utilizing robotics for assessing knee joint laxity has, therefore, recently emerged (Branch et al., 2015; Lorenz et al., 2015). These methods exercise high repeatability and accuracy in the application of forces, however, they are still limited by their inability to measure true bone motion due to STA. By combining robotic technology with new medical image modalities, the aforementioned limitation can be overcome which may make it possible to conceive a laxity measurement method with high accuracy, multiplanar assessment and unaffected by STA. Therefore, this paper proposes such a novel method for measuring knee joint laxity in multiple DOF, combining parallel manipulator technology and low dose biplanar x-ray acquisition. Methods Development An in vivo arthrometer was custom developed, combining a parallel manipulator (H-820, Physik Instrumente, Germany) and a six axis force/moment (F/M) sensor (Omega85 SI-1900-80, ATI Industrial Automation, USA) (see Fig. 1). The parallel manipulator has a manufacturer reported repeatability of ±1 µm and the F/M sensor has a re...

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Section: Limitationssupporting

confidence: 73%

A novel non-invasive method for measuring knee joint laxity in four dof: In vitro proof-of-concept and validation

Pedersen

Vanheule

Wirix-Speetjens

et al. 2019

Journal of Biomechanics

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“…Existing studies have validated RSA bone model methods for dynamic 3D tracking of the knee. 10 , 31 The MBM method presented in this study has previously been used to perform kinematic studies on donor hips and knees. 6 , 8 …”

Section: Discussionmentioning

confidence: 99%

“…The number of specimens included was chosen based on experience from a previous validation study on the knee performed using the same system. 10 …”

Section: Methodsmentioning

confidence: 99%

“…The first image in a dynamic recording was calibrated and the same calibration was then used in subsequent images as no change in the set-up happens during the short dynamic RSA recording. 10 , 27 Analysis by all methods was performed on the same images and the calibration was identical for all methods, hence the observed migration differences between methods are not influenced by differences in calibration.…”

Section: Methodsmentioning

confidence: 99%

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Marker free model-based radiostereometric analysis for evaluation of hip joint kinematics

Hansen

Raedt

Jørgensen

et al. 2018

Bone & Joint Research

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ObjectivesTo validate the precision of digitally reconstructed radiograph (DRR) radiostereometric analysis (RSA) and the model-based method (MBM) RSA with respect to benchmark marker-based (MM) RSA for evaluation of kinematics in the native hip joint.MethodsSeven human cadaveric hemipelves were CT scanned and bone models were segmented. Tantalum beads were placed in the pelvis and proximal femoral bone. RSA recordings of the hips were performed during flexion, adduction and internal rotation. Stereoradiographic recordings were all analyzed with DRR, MBM and MM. Migration results for the MBM and DRR with respect to MM were compared. Precision was assessed as systematic bias (mean difference) and random variation (Pitman’s test for equal variance).ResultsA total of 288 dynamic RSA images were analyzed. Systematic bias for DRR and MBM with respect to MM in translations (p < 0.018 mm) and rotations (p < 0.009°) were approximately 0. Pitman’s test showed lower random variation in all degrees of freedom for DRR compared with MBM (p < 0.001).ConclusionSystematic error was approximately 0 for both DRR or MBM. However, precision of DRR was statistically significantly better than MBM. Since DRR does not require marker insertion it can be used for investigation of preoperative hip kinematics in comparison with the postoperative results after joint preserving hip surgery. Cite this article: L. Hansen, S. De Raedt, P. B. Jørgensen, B. Mygind-Klavsen, B. Kaptein, M. Stilling. Marker free model-based radiostereometric analysis for evaluation of hip joint kinematics: A validation study. Bone Joint Res 2018;7:379–387. DOI: 10.1302/2046-3758.76.BJR-2017-0268.R1.

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“…Model-based tracking with biplane videoradiography (BVR) is a well-established method that has allowed investigators to directly study the dynamic in-vivo skeletal kinematics of the knee (Anderst et al, 2009;Bey et al, 2008a;Miranda et al, 2011;Stentz-Olesen et al, 2017), shoulder (Bey et al, 2008b(Bey et al, , 2006, hip (Martin et al, 2011), and ankle (Ito et al, 2015) joints in various settings. BVR is capable of high-speed captures (up to 1000 Hz) with a low radiation dosage (e.g., ~0.03 mSv/sec for upper extremity studies), and it can be a practical system for studying the dynamic motion of the wrist joint during activities of daily living.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of biplane videoradiography for quantifying dynamic wrist kinematics

Akhbari¹,

Morton²,

Moore³

et al. 2019

Journal of Biomechanics

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Accurately assessing the dynamic kinematics of the skeletal wrist could advance our understanding of the normal and pathological wrist. Biplane videoradiography (BVR) has allowed investigators to study dynamic activities in the knee, hip, and shoulder joint; however, currently, BVR has not been utilized for the wrist joint because of the challenges associated with imaging multiple overlapping bones. Therefore, our aim was to develop a BVR procedure and to quantify its accuracy for evaluation of wrist kinematics. BVR was performed on six cadaveric forearms for one neutral static and six dynamic tasks, including flexion-extension, radial-ulnar deviation, circumduction, pronation, supination, and hammering. Optical motion capture (OMC) served as the gold standard for assessing accuracy. We propose a feedforward tracking methodology, which uses a combined model of metacarpals (second and third) for initialization of the third metacarpal (MC3). BVR-calculated kinematic parameters were found to be consistent with the OMCcalculated parameters, and the BVR/OMC agreement had submillimeter and sub-degree biases in tracking individual bones as well as the overall joint's rotation and translation. All dynamic tasks (except pronation task) showed a limit of agreement within 1.5° for overall rotation, and within 1.3 mm for overall translations. Pronation task had a 2.1° and 1.4 mm limit of agreement for rotation and translation measurement. The poorest precision was achieved in calculating the pronationsupination angle, and radial-ulnar and volar-dorsal translational components, although they were sub-degree and submillimeter. The methodology described herein may assist those interested in examining the complexities of skeletal wrist function during dynamic tasks.

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Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data

Cited by 18 publications

References 24 publications

A novel non-invasive method for measuring knee joint laxity in four dof: In vitro proof-of-concept and validation

A novel non-invasive method for measuring knee joint laxity in four dof: In vitro proof-of-concept and validation

Marker free model-based radiostereometric analysis for evaluation of hip joint kinematics

Accuracy of biplane videoradiography for quantifying dynamic wrist kinematics

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